Terminal Apparatus Personalized Configuration via Remote Server Analysis
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Solution Overview
Problem
Smart operating systems and applications on terminal devices, such as smartphones and tablets, often fail to accommodate individual user habits and preferences due to fixed configurations, leading to user confusion about available functions.
Innovation Solution
An information processing method that connects a terminal apparatus with a remote server to gather user operation data, which is used to generate customized configurations and prompts based on user behavior, optimizing the user experience by adapting the interface to individual habits.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If fixed configurations are provided in the operating system and applications, then the system structure is simple and easy to manufacture, but it cannot satisfy user habits and personalized requirements
Solution Approach 1:
The system pre-collects user operation data and analyzes usage habits before the user needs customization. The server proactively generates customized configurations based on accumulated operation records, so when the user needs personalized settings, the system has already prepared optimal configurations based on pre-analyzed behavior patterns.
Solution Approach 2:
The system continuously monitors user operations and feeds this data back to the server for analysis. The server generates customized configurations based on the feedback from operation records, and these configurations are applied to the terminal. This closed-loop feedback mechanism enables the system to adapt to user habits while maintaining manageable complexity through automated analysis.
2Adaptability or versatility
If multiple functions are added to the operating system and applications, then the system functionality is enhanced, but users become confused about how to use the functions
Solution Approach 1:
Instead of providing generic help for all functions, the system analyzes user operation data to identify specific functions the user struggles with or uses frequently. customized prompts are then generated to provide targeted guidance for those specific functions, making the help information locally optimized for each user's actual needs rather than uniformly comprehensive.
Solution Approach 2:
The system automatically analyzes user operation records to generate customized prompts without requiring users to manually search for help or configure settings. The server autonomously processes operation data, identifies usage patterns, and generates appropriate prompts, allowing the system to serve itself in understanding and adapting to user needs.
3Ease of operation
If customized configurations are generated based on user operation data, then user experience is improved, but data processing and storage requirements increase
Solution Approach 1:
The system extracts only the essential and relevant features from user operation data that are necessary for generating customized configurations. Instead of processing all raw operation data, the server identifies and extracts key behavioral patterns and usage habits, reducing the effective data volume needed for customization while maintaining personalization quality.
Data Source
AI summary
There provides an information processing method and a terminal apparatus, and the information processing method is applied in the terminal apparatus, and the terminal apparatus is able to be connected with a remote server. The information processing method includes obtaining a first operation for a first operating environment of a specific user of the terminal apparatus in the first operating environment; responding to the first operation by the first operating environment; transmitting first parameter information of the first operation and second parameter information of the first operating environment in response to the first operation to the remote server; receiving customized configuration information or customized prompt information related to the specific user from the remote server; configuring the first operating environment to provide optimized customized configuration or customized prompt to the specific user based on the customized configuration information or the customized prompt information.